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DTSTART;TZID=America/Denver:20231113T103000
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UID:submissions.supercomputing.org_SC23_sess445_misc132@linklings.com
SUMMARY:Invited Talk 2:  Living in a Heterogenous World – How Scientific W
 orkflows Bridge Diverse Cyberinfrastructure and What Can We Do Better?
DESCRIPTION:Ewa Deelman (University of Southern California)\n\nScientific 
 workflows are now a common tool used by domain scientists in a number of d
 isciplines.  They are appealing because they enable users to think at high
  level of abstraction, composing complex applications from individual appl
 ication components. Workflow management systems (WMSs), such as Pegasus (h
 ttp://pegasus.isi.edu) automate the process of executing these workflows o
 n modern cyberinfrastructure. They take these high-level, resource-indepen
 dent descriptions and map them onto the available heterogeneous resources:
  campus clusters, high-performance computing resources, high-throughput re
 sources, clouds, and the edge. WMSs can select the appropriate resources b
 ased on their architecture, availability of key software, performance, rel
 iability, availability of cycles, storage space, among others.  Using algo
 rithms like those used in compilers, they can determine what data to save 
 during execution, and which are no longer needed.  Similarly to compiler s
 olutions, they can generate an executable workflow that is tailored to the
  target execution environment, taking into account reliability, scalabilit
 y, and performance.  WMS use workflow execution engines to run the executa
 ble workflows on the target resources, while the jobs within the workflow 
 are managed by the host runtime system. This talk will describe the key co
 ncepts used in the Pegasus WMS and pose the question of how to improve wor
 kflow management systems to be more dynamic and resilient.\n\nTag: Algorit
 hms, Heterogeneous Computing, Large Scale Systems\n\nRegistration Category
 : Workshop Reg Pass\n\nSession Chairs: Vassil Alexandrov (Hartree Centre, 
 STFC); Jack Dongarra (University of Tennessee, Knoxville; Oak Ridge Nation
 al Laboratory (ORNL)); Christian Engelmann (Oak Ridge National Laboratory 
 (ORNL)); Al Geist (Oak Ridge National Laboratory (ORNL)); and Dieter A. Kr
 anzlmueller (Ludwig-Maxmilians-Universität München, Leibniz Supercomputing
  Centre (LRZ))\n\n
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